"youtube" matching MCP servers:

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

Provides production-grade tools for YouTube channel resolution, video metadata extraction, transcripts, and playlist management. It features a quota-aware, AI-friendly design that supports structured searching and listing of public YouTube data.

Gives Claude access to YouTube features such as transcripts, search, video and channel stats, comments, playlists, and trending videos, with optional API key for full functionality.

Enables YouTube search, video details, channels, playlists, and comments scraping via MCP, no API key required.

An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.

An MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.

Provides read-only MCP tools to search YouTube, retrieve video metadata, transcripts, comments, channel information, and popular videos.

A local MCP server for extracting YouTube video transcripts, metadata, and performing visual analysis using Gemini Vision or local Whisper models. It enables users to process video content through various tools for subtitle retrieval and frame analysis.

Gives MCP clients access to YouTube video transcripts and metadata. It lets AI agents read and summarize video content from a URL.

Enables extraction of transcript text from YouTube videos by providing the video URL, supporting standard, shortened, and embed URL formats.

Enables ChatGPT conversations to fetch available captions and metadata from video IDs, URLs, creator uploads, playlists, chapters, and time ranges, returning cleaned Markdown or paginated cues. Cached snapshots, isolated per-video failures, and an outbound-only acquisition worker keep retrieval self-hosted without paid APIs or cookies.

Enables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.

A hosted Model Context Protocol server providing read-only YouTube tools for search, video/channel data, and transcripts, with no Google Cloud project or API key required.

An MCP server that tracks your favorite YouTube creators and tells you when they've posted something new — right from Claude.

Enables MCP clients and agents to fetch YouTube transcripts and caption lists from video IDs or links, preferring manual/auto captions by ordered language preference and falling back to local Faster-Whisper audio transcription when captions are unavailable. Results include source, language, full text and timestamped segments, with CLI exports to JSON, text, SRT and WebVTT, all without paid APIs or API keys.

Fetches your YouTube Watch Later playlist using yt-dlp with browser cookies, bypassing YouTube API limitations. Also supports downloading video subtitles.

Enables AI agents to retrieve YouTube transcripts, video info, channel video lists, and monitor channels for new uploads, with built-in prompt templates for summaries and industry signals—all without an API key.

A zero-config server that enables searching YouTube videos, retrieving transcripts, and browsing channel data without requiring API keys. It allows users to search across a creator's entire content library to find specific passages and timestamps.

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.

Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.